code: def get_artifact_repo_from_storage_info(
      storage_location: str, scoped_token: TemporaryCredentials
  ) -> ArtifactRepository:
      """
      Get an ArtifactRepository instance capable of reading/writing to a UC model version's
      file storage location
      :param storage_location: Storage location of the model version
      :param scoped_token: Protobuf scoped token to use to authenticate to blob storage
      """
      try:
          return _get_artifact_repo_from_storage_info(
              storage_location=storage_location,
              scoped_token=scoped_token,
          )
      except ImportError as e:
          raise MlflowException(
              "Unable to import necessary dependencies to access model version files in "
              "Unity Catalog. Please ensure you have the necessary dependencies installed, "
              "e.g. by running 'pip install mlflow[databricks]' or "
              "'pip install mlflow-skinny[databricks]'"
          ) from e
  
file_path: mlflow/mlflow/store/_unity_catalog/registry/utils.py
imports: from typing import List, Optional
  from mlflow.entities.model_registry import ModelVersion, ModelVersionTag, RegisteredModel, RegisteredModelAlias, RegisteredModelTag
  from mlflow.exceptions import MlflowException
  from mlflow.protos.databricks_uc_registry_messages_pb2 import ModelVersion
  from mlflow.protos.databricks_uc_registry_messages_pb2 import ModelVersionStatus
  from mlflow.protos.databricks_uc_registry_messages_pb2 import ModelVersionTag
  from mlflow.protos.databricks_uc_registry_messages_pb2 import RegisteredModel
  from mlflow.protos.databricks_uc_registry_messages_pb2 import RegisteredModelTag
  from mlflow.protos.databricks_uc_registry_messages_pb2 import TemporaryCredentials
  from mlflow.store.artifact.artifact_repo import ArtifactRepository
label_desc: Use image node_id 6 for calling a global function with example usage: get_artifact_repo_from_storage_info(storage_location, scoped_token) and returns: _get_artifact_repo_from_storage_info